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Exploring Simultaneous Presentation in Online Restaurant Reviews : An Analysis of Textual and Visual Content

첫 페이지 보기
  • 발행기관
    한국경영정보학회 바로가기
  • 간행물
    Asia Pacific Journal of Information Systems KCI 등재 SCOPUS 바로가기
  • 통권
    제29권 제2호 (2019.06)바로가기
  • 페이지
    pp.181-202
  • 저자
    Lin Li, Gang Ren, Taeho Hong, Sung-Byung Yang
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A355898

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원문정보

초록

영어
The purpose of this study is to explore the effect of different types of simultaneous presentation (i.e., reviewer information, textual and visual content, and similarity between textual-visual contents) on review usefulness and review enjoyment in online restaurant reviews (ORRs), as they are interrelated yet have rarely been examined together in previous research. By using Latent Dirichlet Allocation (LDA) topic modeling and state-of-the-art machine learning (ML) methodologies, we found that review readability in textual content and salient objects in images in visual content have a significant impact on both review usefulness and review enjoyment. Moreover, similarity between textual-visual contents was found to be a major factor in determining review usefulness but not review enjoyment. As for reviewer information, reputation, expertise, and location of residence, these were found to be significantly related to review enjoyment. This study contributes to the body of knowledge on ORRs and provides valuable implications for general users and managers in the hospitality and tourism industries.

목차

ABSTRACT
Ⅰ. Introduction
Ⅱ. Literature Review
2.1. Online Restaurant Reviews and Simultaneous Presentation Forms
2.2. Online Restaurant Reviews and Image Mining
2.3. Topic Modeling and LDA
2.4. Review Usefulness and Review Enjoyment
Ⅲ. Research Methodology
3.1. Data Source and Data Sampling
3.2. Measurement and Operationalization of Variables
3.3. LDA Topic Modeling
3.4. Similarity Between Textual-Visual Contents
Ⅳ. Data Analysis and Results
4.1. Data Analysis Procedure
4.2. Results
Ⅴ. Discussion and Propositions
Ⅵ. Conclusion and Implications
Disclosure statement
Acknowledgements


키워드

Online Restaurant Review Simultaneous Presentation Image Mining Topic Modeling Machine Learning

저자

  • Lin Li [ Ph.D, candidate, School of Management, Kyung Hee University, Korea ]
  • Gang Ren [ Assistant Professor, College of Business Administration, Kookmin University, Korea ]
  • Taeho Hong [ Professor, College of Business Administration, Pusan National University, Korea ]
  • Sung-Byung Yang [ Associate Professor, School of Management, Kyung Hee University, Korea ] Corresponding Author

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    한국경영정보학회 [The Korea Society of Management information Systems]
  • 설립연도
    1989
  • 분야
    사회과학>경영학
  • 소개
    이 학회는 경영정보학의 연구 및 교류를 촉진하고 학문의 발전과 응용에 공헌함을 목적으로 합니다.

간행물

  • 간행물명
    Asia Pacific Journal of Information Systems
  • 간기
    계간
  • pISSN
    2288-5404
  • eISSN
    2288-6818
  • 수록기간
    1990~2026
  • 등재여부
    KCI 등재,SCOPUS
  • 십진분류
    KDC 325 DDC 658

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